被动遥感中后端RFI缓解技术的评估

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-07-26 DOI:10.1109/IGARSS.2015.7326890

J. Querol, Alberto Alonso Arroyo, Raul Onrubia Ibáñez, D. Pascual, Adriano Camps

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引用次数: 11

摘要

射频干扰(RFI)是一个日益严重的问题，特别是对于那些使用低功率信号的系统，如被动遥感仪器。因此，目前正在开发减少RFI的技术。这项工作旨在评估后端缓解算法的检测概率和缓解性能。结果表明，小波去噪(WD)和多分辨率傅立叶变换(MFT)在大多数情况下都是最好的技术，特别是对于基于gnss的仪器。

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Assessment of back-end RFI mitigation techniques in passive remote sensing

Radio-Frequency Interference (RFI) is a growing problem specially for those systems that work with low power signals such as passive remote sensing instruments. Consequently, RFI mitigation techniques are currently under development. This works aims at evaluating back-end mitigation algorithms in terms of their probability of detection and mitigation performance. Results show that Wavelet Denoising (WD), and Multiresolution Fourier Transform (MFT) are the best techniques in most scenarios, specially for GNSS-based instruments.

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2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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